Silke I. Probst

This study investigates bidirectional interactions between fluorinated chemicals and gut microbiota using ex vivo, in vitro, and in silico methods, revealing microbial biotransformation and potential detoxification effects.

The paper develops an enzyme-level benchmark using bacterial laccases to predict the biotransformation of trace organic contaminants in water.

This study identifies bacteria that inhibit different Legionella species, showing variable inhibition patterns and highlighting the role of biosurfactants like viscosin produced by Pseudomonas lurida.

This paper discovers that human gut microbes can cleave carbon-fluorine bonds using defluorinases, identifies structural features predictive of this activity, and develops a screening assay for detecting such enzymes.

The paper identifies chemical and amino acid features predictive of arylamidase biotransformation of micropollutants using machine learning and enzyme characterization.